Empirical Implications of Theoretical Models in Political Science

Students and scholars specialising in the social sciences, especially political science, are introduced to a fresh way of thinking on how to model and test their research questions. Placing emphasis on unifying formal and empirical tools, a framework for methodological unification (EITM) is presented through a variety of interdisciplinary examples. Tension has long existed in the social sciences between quantitative and qualitative approaches on one hand, and theory-minded and empirical techniques on the other. The latter divide has grown sharper in the wake of new behavioural and experimental perspectives which draw on both sides of these modelling schemes. This book works to address this disconnect by establishing a framework for methodological unification: empirical implications of theoretical models (EITM). This framework connects behavioural and applied statistical concepts, develops analogues of these concepts, and links and evaluates these analogues. The authors offer detailed explanations of how these concepts may be framed, to assist researchers interested in incorporating EITM into their own research. They go on to demonstrate how EITM may be put into practice for a range of disciplines within the social sciences, including voting, party identification, social interaction, learning, conflict and cooperation to macro-policy formulation.

• | Author: Jim Granato, Melody Lo, M. C. Sunny Wong
• | Publisher: Cambridge University Press
• | Publication Date: May 13, 2021
• | Number of Pages:
• | Language:
• | Binding: Paperback / softback
• | ISBN-13: 9780521122801
• | ISBN-10: 0521122805